[CFP] 2nd International Workshop on Knowledge Graphs for Responsible AI @ ESWC 2025

KG-STAR 2025: *2nd International Workshop on Knowledge Graphs for
Responsible AI*
    co-located with the 22nd Extended Semantic Web Conference (ESWC)
    June 1 - 5, 2025 | Portoroz | Slovenia.

*Workshop website*: https://sites.google.com/view/kg-star/home
*Submission Deadline: March 6, 23:59 2025 AoE *

We are looking for submissions on the following *topics of interest*:

- *Knowledge Graphs for Bias Mitigation*
   - Techniques and methodologies for using Knowledge Graphs to identify
and mitigate biases in AI models.
   - Case studies demonstrating the successful application of Knowledge
Graphs in addressing bias challenges.

- *Interpretability and Explainability*
   - Approaches to enhancing the interpretability and explainability of
black-box AI models through integrating Knowledge Graphs.
   - Evaluating the effectiveness of Knowledge Graphs in making AI
decision-making processes more transparent.

- *Privacy-Preserving Knowledge Graphs*
   - Methods for constructing Knowledge Graphs that prioritize privacy and
comply with data protection regulations.
   - Applications of Knowledge Graphs in privacy-preserving AI systems.

- *Fairness in AI with Knowledge Graphs*
   - How Knowledge Graphs contribute to ensuring fairness in AI
applications.
   - Techniques for using Knowledge Graphs and their embeddings to identify
and rectify unfair biases in AI models.

- *Ethical Considerations in Knowledge Graph Construction*
   - Ethical challenges in the creation and maintenance of Knowledge Graphs.
   - Best practices for ensuring responsible and ethical Knowledge Graph
development.
   - Real-world applications of Knowledge Graphs in Responsible AI.

- *Integration of Large Language Models (LLMs) and Knowledge Graphs (KGs)*
   - Enhancing LLMs’ accuracy, and consistency, reducing hallucinations and
harmful content generation, fake news detection, fact-checking, etc., with
knowledge-grounded techniques, e.g., Graph RAG (graph-based retrieval
augmented generation) and KG RAG.
   - Enhancing the interoperability of KG downstream tasks through LLMs’
natural language interfaces, transferability, and generalization capacity,
e.g., GNN (graph neural network)-LLM alignment.

*Important Dates:*
    Submission deadline: *March 6, 2025*
    Notifications due: April 3, 2025
    Camera-ready version due: April 17, 2025
    Workshop date: 1 June 2025

*Submission Guidelines:*
We invite full research papers, negative results, position papers, dataset
and system demo papers. The page limit for the full research papers,
negative results and dataset papers is 16 pages excluding references, and
for the short papers and demos, it is seven pages excluding references. All
must be in English and formatted in the style of the CEUR proceedings
format.
*Submission Link:* https://easychair.org/conferences/?conf=2ndkgstareswc2025

*Organising Chairs:*
    Edlira Vakaj, Birmingham City University, UK
    Nandana Mihindukulasooriya, IBM Research, USA
    Manas  Gaur, University of Maryland Baltimore County, USA
    Arijit Khan, Aalborg University, Denmark

Best Regards,
Nandana Mihindukulasooriya, Ph.D.
Senior Research Scientist - IBM Research AI
1 Madison Ave, New York, NY 10010, USA.